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Fast Labeling and Transcription with the Speechalyzer Toolkit
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC 2012)
Abstract
We describe a software tool named Speechalyzer which is optimized to process large speech data sets with respect to transcription, labeling and annotation. It is implemented as a client server based framework in Java and interfaces software for speech recognition, synthesis, speech classification and quality evaluation. The application is mainly the processing of training data for speech recognition and classification models and performing benchmarking tests on speech to text, text to speech and speech categorization software systems.